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BigPanda vs Dynatrace comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 16, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.5
BigPanda enhances efficiency by centralizing operations, saving time and resources, especially when managing over 10,000 events weekly.
Sentiment score
6.9
Organizations benefit from Dynatrace through reduced downtime, cost savings, and increased efficiency by streamlining processes and enhancing innovation.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
Technical Lead
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Software Engineer at Trianz
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
senior DevOps engineer at a tech services company with 10,001+ employees
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Enterprise Architect at DXC Technology
Save money by identifying problems, thereby reducing monetary losses on their application side.
Technical Manager, Consulting at PT. Mitra Integrasi Informatika
 

Customer Service

Sentiment score
6.0
BigPanda customer service is generally helpful but experiences vary, showing occasional delays with ratings from six to ten.
Sentiment score
7.1
Dynatrace's customer service is friendly and knowledgeable, providing quick resolutions, though some users face slow response times.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
For technical support, we have only had to address password resets and alert mismatching.
Technical Lead
Their collaboration was good, and I would rate them nine out of ten.
Software Engineer at Trianz
They have a good reputation, and the support is commendable.
Enterprise Architect at DXC Technology
The technical support from Dynatrace is excellent.
System Administrator at a manufacturing company with 10,001+ employees
Whenever we faced any issues, we could get timely resolution from their support.
senior DevOps engineer at a tech services company with 10,001+ employees
 

Scalability Issues

Sentiment score
6.6
BigPanda efficiently manages large alerts and users, integrates well, and is favored for scalability in complex infrastructures.
Sentiment score
7.3
Dynatrace is praised for its scalability and efficiency in handling large deployments with minimal overhead and proactive monitoring.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
Software Engineer at Trianz
I rate the scalability of BigPanda at eight.
Manager Observability at ICE
If it's an enterprise, increasing the number of instances doesn’t pose problems.
Enterprise Architect at DXC Technology
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
senior DevOps engineer at a tech services company with 10,001+ employees
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
Technical Manager, Consulting at PT. Mitra Integrasi Informatika
 

Stability Issues

Sentiment score
7.0
BigPanda is stable with efficient issue resolution, improved reliability, and high ratings, though critical traffic may slow it down.
Sentiment score
7.6
Dynatrace is highly stable with minimal issues, praised for consistent performance, high availability, and effective problem resolution.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
Manager Observability at ICE
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
Software Engineer at Trianz
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
Enterprise Architect at DXC Technology
There have been no stability issues with Dynatrace.
System Administrator at a manufacturing company with 10,001+ employees
Dynatrace is a SaaS product with frequent agent management updates.
Principal Consultant at a tech consulting company with 11-50 employees
 

Room For Improvement

BigPanda needs better analytics, UI, cost-effectiveness, and AI, with improved observability, integration, and reduced incident costs.
Dynatrace users seek simplified pricing, enhanced UI, better integrations, improved documentation, customizable features, and comprehensive tutorials.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
Software Engineer at Trianz
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
Enterprise Architect at DXC Technology
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
Performance Architect at a tech vendor with 5,001-10,000 employees
They have been the pioneers from inception, and they remain at the top of the Gartner chart.
Technical Associate at a manufacturing company with 10,001+ employees
 

Setup Cost

BigPanda offers flexible, affordable pricing at $200,000/year with discounts, perceived as reasonable compared to competitors in event management.
Dynatrace's pricing is high but worthwhile for its features; costs vary by usage, with negotiable discounts available.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
Software Engineer at Trianz
Dynatrace is known to be costly, which delayed its integration into our system.
System Administrator at a manufacturing company with 10,001+ employees
If setting up in a large scale environment, it is overwhelming because it is expensive.
senior DevOps engineer at a tech services company with 10,001+ employees
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
Technical Manager, Consulting at PT. Mitra Integrasi Informatika
 

Valuable Features

BigPanda enhances incident management with AI-driven alert deduplication, integration, automation, and user-friendly dashboards, improving workflow efficiency.
Dynatrace provides AI-driven monitoring, anomaly detection, and efficient diagnostics to enhance IT efficiency and boost business productivity.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Manager Observability at ICE
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
Technical Lead
The integration with Power BI for generating detailed reports is a standout feature.
System Administrator at a manufacturing company with 10,001+ employees
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
Technical Associate at a manufacturing company with 10,001+ employees
Dynatrace links compute with services and services with code and other components.
Principal Consultant at a tech consulting company with 11-50 employees
 

Categories and Ranking

BigPanda
Ranking in AIOps
11th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
19
Ranking in other categories
IT Infrastructure Monitoring (26th), IT Alerting and Incident Management (8th)
Dynatrace
Ranking in AIOps
2nd
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
356
Ranking in other categories
Application Performance Monitoring (APM) and Observability (2nd), Log Management (6th), Mobile APM (2nd), Container Monitoring (1st), AI Observability (2nd)
 

Mindshare comparison

As of December 2025, in the AIOps category, the mindshare of BigPanda is 3.2%, up from 2.7% compared to the previous year. The mindshare of Dynatrace is 18.5%, down from 24.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Market Share Distribution
ProductMarket Share (%)
Dynatrace18.5%
BigPanda3.2%
Other78.3%
AIOps
 

Q&A Highlights

BH
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Dec 10, 2020
 

Featured Reviews

RK
Manager Observability at ICE
Event management improvements reduce noise and support faster resolution although scheduling features need enhancements
The most valuable features of BigPanda include event deduplication, correlations, and enrichment, which reduce the noise in the environment. It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution. Furthermore, it offers out-of-the-box integrations with tools like ServiceNow and Teams, allowing auto-sharing on Teams channels. Updates made in Teams can be reflected back into BigPanda.
Manish Indupuri - PeerSpot reviewer
senior DevOps engineer at a tech services company with 10,001+ employees
AI-driven insights have reduced downtime and improved cross-team collaboration
We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.
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Answers from the Community

BH
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Dec 8, 2020
Dec 8, 2020
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log ...
2 out of 5 answers
reviewer802371 - PeerSpot reviewer
Service Assurance, Senior Manager at a computer software company with 1,001-5,000 employees
Oct 20, 2020
Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
reviewer1352679 - PeerSpot reviewer
IT Technical Architect at a insurance company with 5,001-10,000 employees
Oct 20, 2020
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitoring.  We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace.  Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future.  We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation.  We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing.  Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.   I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions.  You will need additional monitoring products to capture data and feed them.  Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment. Here's a quick pro/con list on Dynatrace & New Relic from our analysis. New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product. New Relic Cons: Requires lots of manual configurations to implement and support.  Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.   Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful.  High integration of infra and APM data for full-stack observability and engineering.  Topology and trace discovery is more reliable than other products or our CMDB.  Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting.  AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project. Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis.  Host, process, and service data is not available to query within the product.  Alarm processing lacks some granular controls. The Plug-in library is less robust. Good luck with your decision!
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
7%
Financial Services Firm
23%
Computer Software Company
9%
Manufacturing Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise11
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise50
Large Enterprise297
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
What do you like most about BigPanda?
One of the most valuable features of BigPanda is its user-friendly interface.
What is your experience regarding pricing and costs for BigPanda?
The pricing of BigPanda includes considerations for pricing, licensing, and setup costs of the solution.
Any advice about APM solutions?
The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...
What cloud monitoring software did you choose and why?
While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
 

Comparisons

 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
Find out what your peers are saying about BigPanda vs. Dynatrace and other solutions. Updated: December 2025.
879,310 professionals have used our research since 2012.